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Updated: Sep 10, 2025

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
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用普通微分方程和机器学习来建模多原子时间序列的chronODE框架.

Beatrice Borsari1,2, Mor Frank1,2, Eve S Wattenberg1,2

  • 1Program in Computational Biology and Biomedical Informatics, Yale University, New Haven, CT, USA.

Nature communications
|August 19, 2025
PubMed
概括

这项研究引入了chronODE,这是一个新的框架,用于随着时间的推移建模基因表达和染色体动力学. 它在发育过程中揭示了不同的基因运动模式,突出了生化界限和调节元素的作用.

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